About the Role

You'll be Snorkel's primary technical voice in the open-source and research communities. The work spans three audiences: frontier AI research teams (post-training, RL environments, evals and benchmarks), enterprise ML and applied AI teams building specialized models on proprietary expertise, and the broader data-centric AI community.

You'll partner closely with our research, forward deployed research, and product teams to translate the methodology behind Snorkel's work into world-class technical content, open-source contributions, conference presence, and a thriving community of data-centric AI practitioners.

Success looks like: a strong Snorkel open-source presence, a steady cadence of high-signal technical writing and research artifacts, marquee presence at the conferences that matter (NeurIPS, ICML, ICLR, AI Engineer World's Fair), and an engaged community of researchers and practitioners who view Snorkel as the trusted authority on data development for modern AI.

Responsibilities

• Own Snorkel's external technical voice. Write methodology posts, technical deep-dives, and research-grade content on data development for frontier models. 
• Lead Snorkel's open-source presence. Define the GTM approach, ship code, review PRs, recruit contributors, and keep the libraries credible and current. Build OSS that demonstrates Snorkel's methodology in practice, including reproducible evals and benchmark artifacts.
• Advance the conversation on AI evaluation and benchmarking. Publish original work on how to measure agentic AI systems. Domain-specific evals, agent evals, LLM-as-judge calibration, contamination and saturation, and the connection between evals and post-training data.
• Drive conference and research community presence. Land talks, papers, and workshops at NeurIPS, ICML, ICLR, AI Engineer World's Fair, and the right practitioner venues. Build relationships with academic labs and AI research teams.
• Partner with the research team. Translate what's learned in research collaborations into externally shareable methodology, case studies, and tooling.
• Set the bar for technical credibility. Design evals and benchmarks, prototype RL environments, and write code worth using. Your authority comes from doing the work, not just talking about it.

Preferred Qualifications

• Experience. 6+ years in applied ML research, AI engineering, developer/research advocacy, or a research-intensive technical role with significant public output. Prior DevRel/advocate experience welcome but not required.
• Deep technical fluency in modern AI. Post-training techniques (RLHF, DPO, RLAIF), evaluation methodologies, RL environment design, training data pipelines, synthetic data generation, and at least one applied domain (coding agents, reasoning, multimodal, agents).
• Hands-on experience with AI evaluation and benchmarks. You've built and run real evals: public benchmarks (MMLU, GPQA, SWE-bench, HELM, BIG-bench, Arena-style head-to-heads), domain-specific custom evals, and LLM-as-judge pipelines with proper calibration. 
• You build with AI, not just about AI. A power user of frontier coding agents (Claude Code, Cursor, Codex, and the like) in your day-to-day workflow, and you've built non-trivial agentic systems yourself – multi-step, tool-using, with real evals and an opinion on what breaks.
• A real public body of work. Talks, papers, blog posts, podcasts, and/or OSS contributions you can point to. Quality and signal matter more than volume.
• Customer- and researcher-facing presence. Comfortable in a room with frontier-lab research leads or a F500 ML team; can read the room and hold technical credibility on either side.
• Self-directed and comfortable with ambiguity. You ship without being asked, set your own quality bar, and enjoy moving at the pace of frontier AI.

Bonus: Advanced degree or sustained research output in ML/AI; prior experience at an AI lab, OSS-first AI company, or a research-driven technical org; conference program-committee or organizing experience; published or maintained a public benchmark; relationships in the post-training, evals, or RL-environments communities.

About the Team

The Marketing team at Snorkel AI powers the engine behind our brand, community, and go-to-market success. We work cross-functionally with product, sales, and customer teams to build awareness, generate demand, and create experiences that bring our mission — helping frontier labs and enterprises put AI to work with better data — to life.

About the Role

We're looking for a Principal Growth Marketer to reimagine how Snorkel AI generates and accelerates pipeline. This isn't a traditional demand gen role — it's a modern, full-stack growth position for someone who blends creative storytelling with rigorous experimentation and data fluency. You'll build programs that go beyond paid campaigns and MQL handoffs, leveraging product signals, community engagement, thought leadership, and AI-native tooling to reach technical buyers in ways that feel authentic and high-signal. You'll sit at the intersection of marketing, sales, and product to architect growth motions that are as innovative as the technology we build.

This is a hybrid role based in San Francisco.

Responsibilities

• Modern Growth Strategy: Design and own a growth engine that goes beyond traditional demand gen — blending paid, organic, product-led, and community-driven channels into a cohesive, always-on pipeline machine.
• Creative Campaign Development: Conceive and launch campaigns that cut through the noise with technical audiences — think benchmark drops, interactive data playgrounds, developer-first content, and viral research moments, not just gated whitepapers.
• Experimentation & Optimization: Run rapid, structured experiments across the full funnel. A/B test everything from ad creative and landing pages to email sequences and conversion flows. Let the data decide.
• Signal-Based Pipeline Generation: Move beyond MQL-centric models. Build intent-based and signal-driven programs that surface and engage high-fit accounts using product consumption data, research engagement, and third-party intent signals.
• ABM & Personalized Outreach: Partner with sales to run sophisticated, multi-touch ABM plays targeting enterprise and frontier lab accounts with relevant, timely, and genuinely useful content.
• Analytics & Attribution: Partner with Marketing Ops on growth dashboards and reporting. Build a clear picture of what's working, where pipeline comes from, and how to allocate resources for maximum impact.
• AI Tooling: Leverage modern AI tools to scale programs efficiently. Bring a builder's mindset to marketing infrastructure.
• Cross-Functional Growth Loops: Collaborate with product marketing, research, content, and sales to create compounding growth loops where great research fuels great content, which fuels great conversations, which fuels great deals.

About You

You're not a traditional demand gen marketer — you're the next evolution. You think in growth loops, not linear funnels. You're as comfortable writing a compelling campaign brief as you are digging into conversion data or spinning up a new experiment in your marketing stack. You have strong opinions about why most B2B marketing is broken and a track record of doing it differently. You're drawn to technical products, energized by fast-moving teams, and motivated by building something genuinely new.

Requirements

• 8-10 years of experience in growth marketing, demand generation, or performance marketing — ideally in B2B technology, developer tools, or AI/ML
• A track record of building and scaling programs that directly and measurably drive pipeline and revenue, not just top-of-funnel vanity metrics
• Experience moving beyond traditional MQL models toward signal-based, intent-driven, or product-led growth motions
• Deep comfort with data — you can build dashboards, run experiments, and make resource allocation decisions grounded in analytics
• Hands-on proficiency with modern marketing and sales tools (e.g., Salesforce, Marketo/HubSpot, 6sense or Demandbase, Google Analytics, Looker) and a willingness to adopt AI-powered tooling
• Experience with account-based marketing strategies targeting enterprise or highly technical buyer personas
• Strong creative instincts — you can develop campaigns that feel fresh, relevant, and authentic to developer and data science audiences
• Comfort operating in ambiguity and moving fast in a high-growth startup environment
• A genuine passion for AI and an understanding of (or eagerness to learn) the AI/ML landscape, including benchmarks, model evaluation, and data-centric AI

About the Team

The Marketing team at Snorkel AI powers the engine behind our brand, community, and go-to-market success. We work cross-functionally with product, sales, and customer teams to build awareness, generate demand, and create experiences that bring our mission — helping frontier labs and enterprises put AI to work with better data — to life.

About the Role

We're looking for a  Lead Field Marketing & Events to own and execute Snorkel AI's in-person and hybrid event strategy. This is a high-impact IC role for someone who thrives on building memorable, well-orchestrated experiences — from flagship conferences to intimate community meetups. You'll partner closely with sales, partnerships, research, and the broader marketing team to drive lead generation, strengthen our AI community, and amplify Snorkel's presence in the market.

This role is based in San Francisco, Bay Area.

Responsibilities

• Event Strategy & Execution: Plan, manage, and execute a full calendar of events including industry conferences, trade shows, Snorkel-hosted meetups, our annual user conference, and partner co-marketing activations.
• Field Marketing Programs: Design and run regional field programs that support pipeline generation and accelerate deals in partnership with the sales team.
• AI Community Engagement: Build and nurture Snorkel's presence in the broader AI and ML community through meetups, developer-focused events, and grassroots activations that foster genuine connection and dialogue.
• Partner Co-Marketing: Collaborate with technology and channel partners on joint events and co-branded experiences that extend reach and credibility.
• Budget & Vendor Management: Own the events budget, negotiate contracts with venues and vendors, and ensure every dollar drives measurable impact.
• Cross-Functional Coordination: Work closely with demand generation, content, product marketing, sales, and design to ensure events are tightly integrated into broader campaigns and GTM motions.
• Measurement & Optimization: Define KPIs for each event, track performance (leads, pipeline influence, engagement), and apply learnings to continuously raise the bar.

About You

You're equal parts creative producer and detail-obsessed operator. You have an intuition for what makes a field experience feel vibrant, engaging, and worth showing up to — and the organizational rigor to pull it off flawlessly. You're passionate about AI and technology, energized by the pace of a high-growth startup, and motivated by building community as much as building pipeline.

Requirements

• 5–7 years of experience in field marketing, event marketing, or experiential marketing in B2B technology, SaaS, or AI/ML
• Proven track record of planning and executing events end-to-end — from large-scale conferences and trade shows to curated executive dinners and community meetups
• Experience supporting sales pipeline goals through field programs and regional activations
• Exceptional organizational skills and attention to detail, with the ability to manage multiple events and workstreams simultaneously
• Strong cross-functional collaboration skills — comfortable partnering with sales, partnerships, product, and creative teams
• A sharp eye for experience design — you care deeply about the attendee journey, from signage and swag to content and conversation flow
• Familiarity with event management platforms, CRM tools (e.g., Salesforce), and marketing automation systems
• Experience with community-building programs, developer events, or technical audiences is a strong plus
• A genuine interest in artificial intelligence and a desire to be part of a company shaping the future of enterprise AI